Areas of Research
- Artificial Intelligence
- Behavioral Health Informatics
- Deep Learning
- Machine Learning
- Sensors
- Sensors for Dietary Assessment
- Sensors for Smoking Assessment and Cessation
- Signal and Data Processing
- Smart and Connected Health
- Technology-Driven Interventions
- Wearable Sensors
His research interests span wireless, ambient and wearable devices, and methods of biomedical signal processing and pattern recognition.
Research projects:
- Multi-channel physiological simulator for testing of polygraph equipment
- Energy intake and energy balance monitoring in free living population.
- Wearable biofeedback device (SmartShoe)
- Monitoring of Smoking by Personal Automatic Cigarette Tracker (PACT)
- Self-powered wireless sensors and energy harvesting
- Wireless Intelligent Sensor and Actuator Network (WISAN)
- Sleep state scoring through non-invasive measurements.
- Automatic damage detection for Armored Vehicle Launched Bridge.
- Evolving hybrid controllers for unstable systems.
- Fuzzy engine for Java
